84 results about "Lung ventilation" patented technology

The invention relates to a visual airway clearance device with an intelligent airway internal and external oscillation control function. The visual airway clearance device comprises an electrical impedance imaging device, a controller, an airway internal oscillation device and an airway external oscillation device. The electrical impedance imaging device is used for evaluating the lung ventilation function condition of a patient and transmitting measured lung ventilation function index parameters of the patient to the controller; the controller receives the pulmonary ventilation function index parameters of the electrical impedance imaging device, processes the pulmonary ventilation function index parameters and outputs a control signal; and after receiving the control signal, the air passage internal and external oscillation devices adjust the operation modes and parameters of the air passage internal and external oscillation devices in real time. The system has the advantages that a four-dimensional integrated structure of electrical impedance imaging visual evaluation, intelligent mode selection, double-oscillation cooperation and closed-loop feedback is created for the first time, the problem that the traditional technology cannot dynamically adapt to the heterogeneity of patients is solved, and personalized airway clearance modes and optimal adjustment parameters are provided for different patients; and the effect of removing airway deposited secretions is obvious.

The embodiment of the invention provides a real-time pulmonary ventilation impedance monitoring method and system based on multi-modal data fusion, and the method comprises the steps: obtaining real-time multi-modal data from a plurality of sensors, the multi-modal data comprising a sound signal, an airflow signal and a pressure signal; performing fusion processing on the multi-modal data to generate comprehensive pulmonary ventilation impedance data; based on the comprehensive pulmonary ventilation impedance data, analyzing data distribution characteristics to detect anomalies; and when abnormal data distribution characteristics are detected, a fault early warning system is triggered to solve burst signal distortion. Through the scheme of the embodiment of the invention, the problem of how to carry out fault early warning on the monitoring system according to the abnormal data distribution characteristics so as to solve the problem of burst signal distortion can be solved.

The invention discloses a four-dimensional EIT respiration monitoring method based on digital twinborn assistance, which comprises the following steps: firstly, constructing an individualized digital twinborn model which comprises an accurate three-dimensional geometric structure and electrical characteristic parameters and covers thoracic cavity whole organ systems including double lungs, a heart, a central axis skeleton, a main bronchus, an esophagus and the like on the basis of a chest medical image CT of a patient; the method comprises the steps that firstly, a stable and standardized theoretical reference voltage is generated on a model through electromagnetic field simulation, then, virtual-real fusion is conducted on the theoretical reference voltage, a clinically-collected voltage signal in real time and a clinically-actually-measured reference voltage sequence, and finally, a four-dimensional conductivity change image is reconstructed based on the fused dynamic voltage difference. According to the method, reference drift is effectively inhibited, individualized anatomical information is fused, and semi-absolute quantitative evaluation of the pulmonary ventilation function is achieved.

The utility model discloses a blocking catheter for single-lung ventilation. The blocking catheter comprises a main catheter body. A camera cavity channel is formed in the main catheter body, a camera used for being connected with an external processor is arranged in the camera cavity channel in a sliding and sleeved mode, and the camera cavity channel comprises a front view port located at the near end of the main catheter body and a side view port located in the middle of the main catheter body and close to the near end of the main catheter body. The camera is used for obtaining the view field in front of the near end of the main catheter body through the front view port, and the camera is used for obtaining the view field of the part, located outside the bronchus, of the main catheter body through the side view port. The utility model has the advantages that the visual fields at different positions can be obtained, and the placement and the positioning are convenient.

The invention relates to the technical field of respiratory function monitoring, and discloses a pulmonary ventilation blood flow distribution real-time monitoring method and evaluation system based on a sensor. The method comprises the following steps: acquiring multi-modal data such as a blood oxygen saturation waveform, an airflow rate waveform and a thoracic pressure waveform of a lung area; performing time synchronization processing on the data to generate a time alignment sequence; dividing the data into an inspiration phase, an expiration phase and a transition phase according to a preset rule; extracting time-frequency domain features from each phase segment, and constructing a multi-dimensional respiration feature matrix; identifying an abnormal breathing mode and marking an abnormal section through breathing phase switching frequency analysis; decomposing the normal segment feature matrix by using a lung pathological feature library to generate a pathological feature vector; a pathological feature vector is optimized through a ventilation and blood flow coupling model; and carrying out abnormal region positioning based on the lung pathology propagation network, and generating a lung partition function evaluation result. The method realizes non-invasive and real-time monitoring, and is suitable for scenes such as clinical monitoring and rehabilitation evaluation.

The application discloses a lung ventilation-perfusion imaging area image segmentation and quantitative analysis system and relates to the technical field of medical image analysis.The system comprises a data acquisition module, which acquires SPECT V / Q image data and case information corresponding to the SPECT V / Q image data, and generates a structured data set; a feature extraction module, which performs format conversion and multi-scale feature extraction on the SPECT V / Q image data in the structured data set, and generates a compressed feature map data set; a lung lobe segmentation module, which inputs the compressed feature map data set into a U-Net model, segments lung lobe areas, performs post-processing, and generates a lung lobe area mask image; and an image fusion module, which performs alpha blending fusion on the lung lobe area mask image and the SPECT V / Q image data, and generates a color fusion image.The application captures lung alveolus-to-lung lobe structure by fusing four branch features of a hollow pyramid network, and reduces GPU memory consumption.

The invention relates to the technical field of medical care, in particular to an intelligent early warning system for dynamic deterioration of chronic obstructive pulmonary disease, which is used for solving the technical problem of inaccurate evaluation of lung ventilation capability of a user in the prior art. The system comprises a data acquisition unit used for acquiring lung function time sequence data and multi-dimensional physiological time sequence data of a target user in an observation stage; the observation phase comprises a plurality of consecutive dates; the processing unit is used for determining suspected abnormal days according to the lung function time sequence data, determining the deviation degree of the multi-dimensional physiological time sequence data of the suspected abnormal days and the multi-dimensional physiological time sequence data of the reference day and the similarity of the deviation degree of the physiological time sequence data of different dimensions, determining the abnormal days from the suspected abnormal days based on the deviation degree and the similarity, and sending the abnormal days to the user. The chronic obstructive pulmonary disease dynamic deterioration risk level of the target user is determined based on the abnormal days; and performing risk early warning based on the chronic obstructive pulmonary disease dynamic deterioration risk level of the target user.

The present application relates to the technical field of health care, in particular to an intelligent early warning system for dynamic exacerbation of chronic obstructive pulmonary disease, which is used to solve the technical problem of inaccurate assessment of lung ventilation capacity of users in the prior art. The system comprises: a data acquisition unit for acquiring lung function time series data and multi-dimensional physiological time series data of a target user in an observation period; the observation period comprises a plurality of consecutive days; a processing unit for determining suspected abnormal days according to the lung function time series data, determining the deviation degree of the multi-dimensional physiological time series data of the suspected abnormal days and the multi-dimensional physiological time series data of the reference days and the similarity of the different dimensional physiological time series data deviation degrees, determining the abnormal days from the suspected abnormal days based on the deviation degree and the similarity, and determining the dynamic exacerbation risk level of the target user's chronic obstructive pulmonary disease based on the abnormal days; and performing risk warning based on the dynamic exacerbation risk level of the target user's chronic obstructive pulmonary disease.

The present application relates to a kind of fusion lung ventilation spatiotemporal feature acquisition method, on the basis of establishing three-dimensional electrical impedance image, carry out the visualization research of lung dynamic ventilation condition, fusion evaluation lung ventilation time and spatial heterogeneity, for dynamic respiratory process, the activity of each three-dimensional electrical impedance image will be obtained in time sequence arrangement and obtain three-dimensional electrical impedance activity curve, extract fusion lung ventilation spatiotemporal feature from three-dimensional electrical impedance activity curve for lung function assessment.Can realize long-term continuous dynamic monitoring;First use three-dimensional EIT to carry out lung function research, can be dynamically observed to whole lung ventilation, fusion evaluation lung ventilation time and spatial heterogeneity, convert into three-dimensional electrical impedance activity curve, it is beneficial to clinical auxiliary diagnosis and local lung function characterization.

The invention discloses a method for preparing a VA-ECMO lung injury treatment medicine by using ginkgolide A to regulate YARS1, and relates to the technical field of biological medicine, the method comprises the following steps: by using ginkgolide A as a YARS1 protein regulator, preparing the medicine for treating the VA-ECMO lung injury through virtual screening, binding affinity confirmation and cell efficacy confirmation; wherein the virtual screening is based on a protein structure model of YARS1, and bilobalide A with high affinity binding energy with YARS1 is screened out through molecular docking. It is proved that ginkgolide A can effectively improve the lung ventilation function by regulating YARS1, repair the alveolar epithelial barrier structure and inhibit the inflammatory oxidative stress reaction, and the lung injury treatment effect and clinical transformation safety under the support of VA-ECMO are improved.

The present disclosure provides a unique solution for assisting in the ventilation of lungs of subject that is performed by artificial mechanical ventilator. The solution of the present invention improves the efficiency of the ventilation effect by applying desired pressure profile on portions of the upper body part of the subject in synchronization with the mechanical ventilator operation, thereby creating a desired pressure profile or gradient in the lungs airways to ensure that air pumped into the lungs by the mechanical ventilator spreads more homogeneously in the lungs than without the intervention of the system of the present invention. The application of pressure is determined after analyzing data from sensors of the system that are placed on a plurality of portions on the upper body part of the subject and data received from the mechanical ventilator. These sensors sense data indicative of the ventilation profile within the lungs, i.e. pressure profile along different portions of the lung. The system provides extra-thoracic pressure on the rib cage according to pre-defined and adaptive algorithms based on the physiological status, the respiratory mechanics, and the inhomogeneous nature of lung injury. By applying pressure to the hyperventilated areas and reducing the transpulmonary pressure gradient, the system prevents hyperinflation trauma to the open areas and atelecto-trauma to the closed areas. The system is synchronized with the mechanical ventilator and adapt to changes in the patient's respiratory mechanics.

To provide a warning device for an abnormal position of an endotracheal tube.SOLUTION: A warning device for an abnormal position of an endotracheal tube that monitors accuracy of an installation position of an endotracheal tube includes: a monitoring module 1 for collecting chest X-ray image materials of a patient; an object detection module 2 for detecting an object based on a deep learning model; a position evaluation module 3 for interpreting the position appropriateness of the endotracheal tube based on a result of the object detection module; and a display module 4 for displaying an evaluation result on the position appropriateness of the endotracheal tube and providing a necessary warning as a clinical reference. Thereby, the position of the endotracheal tube is evaluated by an artificial intelligence calculation model using a chest X-ray image captured for the patient. A main objective is to enable clinical medical staff to quickly and accurately determine the appropriateness of the position of the endotracheal tube, reduce the rate of unplanned slipping of the endotracheal tube and the incidence of single-lung ventilation, and improve the medical quality, thereby improving the safety and vital sign stability of the patient.SELECTED DRAWING: Figure 1

The application provides a method and system for estimating autonomous inspiration effort intensity based on a respiratory system model under pressure control ventilation, which simulates airway pressure waveform data assuming no autonomous inspiration effort by combining airway pressure waveform data existing autonomous inspiration effort under pressure control ventilation with autonomous breathing lung ventilation model, obtains airway resistance and respiratory system compliance to obtain flow waveform according to respiratory mechanics motion equation by using original waveform data measured clinically, and then carries out error analysis with flow waveform existing autonomous inspiration effort measured clinically, finally estimates autonomous inspiration effort intensity by using linear regression curve fitting obtained from error index value of flow waveform data assuming no autonomous inspiration effort and flow waveform data existing autonomous inspiration effort obtained from a number of known gold standard esophageal pressure deviation patients, and realizes autonomous inspiration effort intensity estimation without esophageal pressure.

The invention discloses a thoracic operation single-lung ventilation monitoring device and monitoring method based on an EIT technology, the thoracic operation single-lung ventilation monitoring device comprises a plurality of monitoring modules, each monitoring module comprises an electrode membrane and an electrode array, the electrode array is integrated on the electrode membrane, and the electrode membrane is provided with a first adhesive layer so as to be adhered to the body surface of a human body; the system further comprises a receiving host detachably arranged on the single side of the human body surface, a receiving module and a wireless module are arranged in the receiving host, the receiving module is electrically connected with the multiple electrode arrays so as to receive impedance change data of each electrode array, the receiving module is electrically connected with the wireless module, and the wireless module is electrically connected with the receiving module. The wireless module is electrically connected with an external EIT device, and the external EIT device receives impedance change data of each electrode array and converts voltage data into a two-dimensional cross-sectional image. The one-lung ventilation monitoring of the EIT technology during the thoracic operation can be realized, the protective ventilation of the lung is realized, the oxygenation index is improved, the occurrence rate of hypoxemia is reduced, and the pulmonary complications are reduced.

The invention discloses a mask for lung function rehabilitation, and relates to the technical field of medical instruments, the mask comprises a lung function sensor, the outer surface of the lung function sensor is electrically connected with a wire, one end of the wire is electrically connected with a host, and one side of the lung function sensor is movably connected with a lung function filter tip. The sealing sleeve is attached to the mouth of a user, the mouth is completely wrapped in the sealing sleeve, the jaw of the user abuts against the bottom plate, the neck protection plate is attached to the neck of the user, then related breathing operation is conducted according to the requirements of breathing training or lung ventilation function examination, breathing information is converted through the lung function sensor, and the breathing information is displayed through the display screen. During use, the mouthpiece located in the sealing sleeve can be contained in the mouth, first sealing is formed on the mouth of a user, then second sealing is formed through assistance of the sealing sleeve, and therefore the problems that due to the fact that the lips are not tightly closed, errors are generated in respiratory training and lung function examination results, and accuracy is affected are solved.

A system and method for quantifying pulmonary ventilation and perfusion gradients in a subject's lungs, wherein local Hounsfield density histograms are generated from computed tomography data and each local histogram is cross-correlated with a global Hounsfield density histogram at a number of different shift values, and a final shift value is determined for each local histogram based on the correlation values ​​obtained by the cross-correlation.

The application relates to the technical field of medical image processing, and particularly discloses a lung ventilation function evaluation system based on CT images, which adopts deep learning-based image processing technology to analyze lung CT images at the end of inspiration and expiration of a patient, so as to extract semantic feature representations of the lung CT images, and then, through fine-grained semantic interaction and semantic compensation of the lung CT image features at the end of inspiration and expiration, accurate characterization of a lung deformation field is obtained, and the lung capacity of the patient is intelligently estimated. In this way, non-invasive and accurate evaluation of lung function can be realized, and the method is particularly suitable for a patient group with poor physical conditions or unable to complete standard breathing tests as required.

1. The name of the design product: home breathing machine. 2. The use of the design product: the design product is used to improve the respiratory function of the human body and increase the lung ventilation volume. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention belongs to the field of artificial intelligence and non-contact measurement, and relates to a lung ventilation function measurement method and device based on a smartphone microphone. A built-in microphone of the smart phone is used for collecting breathing audio signals of a user in the measurement process, and a lung ventilation function true value is obtained through the lung function instrument to serve as reference data; dividing an inspiration phase and an expiration phase of the breathing audio signal based on a threshold method, and extracting an expiration phase audio clip; processing the expiration signal by using a self-adaptive convolution frequency domain enhancement network, dynamically adjusting a convolution kernel to adapt to different frequency bands by self-adaptive convolution, and enhancing low-frequency components by combining frequency domain enhancement with fast Fourier transform; the transformation type convolutional network models time sequence dependence through causal convolution and jump convolution, and the feature learning ability is enhanced through residual connection and dense connection; and finally predicting lung ventilation function parameters through full connection layer regression. According to the invention, the accuracy of lung ventilation function measurement based on the microphone of the smart phone is improved, and the user can conveniently carry out self-health monitoring.

The invention relates to the technical field of traditional Chinese medicine preparations, in particular to a traditional Chinese medicine composition for treating chronic obstructive pneumonia and a pharmaceutical preparation. The traditional Chinese medicine composition comprises blackberry lily, honey-fried ephedra, dried ginger, asarum, honey-fried aster, honey-fried tussilago farfara, exocarpium citri rubrum, schisandra chinensis, fried semen raphani, perillaseed, semen brassicae and liquorice. The traditional Chinese medicine composition and the pharmaceutical preparation provided by the invention are used for patients with chronic obstructive pneumonia, can recover the pulmonary ventilation function, effectively inhibit inflammatory response in the body and promote lung tissue injury repair, and have a relatively good treatment effect on chronic obstructive pneumonia.

The application discloses a lung ventilation-perfusion imaging area three-dimensional blood flow distribution abnormality analysis method, relates to the technical field of lung function quantitative evaluation, and comprises the following steps: acquiring lung CT image data of a patient to be analyzed, performing structure segmentation on a plurality of sections of the lung CT image data to obtain ventilation phase gray scale images and blood flow perfusion phase gray scale images; on the basis of the lung CT image data, accurately extracting a non-black lung region by threshold segmentation, respectively calculating the ratio of ventilation CT values and blood flow CT values in the region, and generating lung region segmentation data; based on the three-dimensional V / Q ratio atlas, identifying abnormal sub-regions in which local ventilation blood flow ratios deviate from physiological ranges; and obtaining a blood flow distribution abnormality analysis report by performing structured analysis on the abnormal sub-regions. The application divides irregular sub-regions by performing a K-means clustering algorithm on gray scale values in each section, realizes adaptive segmentation of lung function heterogeneity structures, and improves the rationality of local ratio calculation.

An assistance apparatus for carrying out a first emergency care procedure, such as chest compressions or pulmonary ventilation, is configured to cooperate with a second assistance apparatus for carrying out a second emergency care procedure. The assistance apparatus comprises a communication device designed to receive, from the second assistance apparatus, data relating to the second emergency care procedure. The data comprises at least one item of information, a parameter or an instruction. A signal-processing device is configured to process the at least one signal measured according to the received data relating to the second emergency care procedure. An assistance system, comprising a compression assistance apparatus and a ventilation assistance apparatus, and an assistance method associated with the assistance system are also disclosed.

The application discloses a thoracico-abdominal motion respiration flow monitoring method and device, and relates to the field of respiration monitoring. The method comprises the following steps: acquiring a pressure value of a patient pressure monitoring point; the pressure monitoring point comprises a thoracic pressure monitoring point and an abdominal pressure monitoring point; performing data analysis according to the pressure value to determine a displacement change amount of the pressure monitoring point relative to an initial spatial coordinate; performing nonlinear fitting according to the displacement change amount to determine a thoracic volume change amount and an abdominal volume change amount; determining a respiration parameter according to the thoracic volume change amount and the abdominal volume change amount; the respiration parameter comprises a total lung ventilation, a thoracic respiration contribution ratio, an abdominal respiration contribution ratio and a thoraco-abdominal phase difference. The application realizes low-cost and high-precision respiration flow monitoring.

The application discloses a lung ventilation-perfusion development region image fusion method, relates to the technical field of image fusion, and comprises the following steps: arranging lung medical image data according to slice sequences to obtain a first image data set; performing data processing on the first image data set to generate a second image data set, inputting the second image data set into a U-Net model to perform lung segmentation processing, and obtaining a lung region mask; performing fusion processing on ventilation development images and perfusion development images after data processing to obtain a first fusion image, and generating a plurality of lung sub-regions; extracting ventilation development intensity and perfusion development intensity of each lung sub-region respectively, calculating ventilation-perfusion ratio values of the lung sub-regions, performing color coding mapping on the lung sub-regions according to the ventilation-perfusion ratio values, and generating a second fusion image. The application solves the image fusion problem of accurate color coding and visualization of ventilation-perfusion ratio values of lung adaptive sub-regions.

The invention relates to the technical field of lung function evaluation, in particular to an atomization image analysis method for lung ventilation function evaluation. The method comprises the following steps: firstly, acquiring lung atomization images under various concentrations by changing the concentration of aerosol; based on image block level analysis, the lung is divided into different functional regions (such as lung lobe and airway regions), particle distribution difference characteristics of different image blocks are compared to quantify deposition indexes, and regional ventilation uniformity is reflected; sub-regions are further divided in combination with density clustering, the number change of atomized particles is analyzed across time points, and a metabolic rate index is calculated to represent local metabolic activity; and finally fusing the deposition index and the metabolic rate index to generate a ventilation obstruction evaluation value. According to the method, through space-time sequence multi-parameter coupling, the breathing mode and individual difference interference are effectively reduced, the ventilation function and the metabolism state are synchronously analyzed, a quantitative basis is provided for pulmonary ventilation disorder analysis, and evaluation comprehensiveness and clinical decision accuracy are remarkably improved.

A system and method for quantifying a pulmonary ventilation and perfusion gradient of a lung of a subject. Local Hounsfield density histograms are generated from computed tomography imaging data and each local histogram is cross-correlated with a global Hounsfield density histogram at a plurality of different shift values. A final shift value is determined for each local histogram based on the correlation values obtained by the cross-correlation.

The application relates to a lung tissue isolator, belonging to the technical field of medical devices, which comprises a first chest wall outer ring body, a first chest wall inner ring body and a mediastinal ring body, a first isolation film is arranged between the first chest wall outer ring body and the first chest wall inner ring body, the first isolation film is surrounded to form a first isolation cavity, a second isolation film is arranged between the first chest wall inner ring body and the mediastinal ring body, the second isolation film is surrounded to form a second isolation cavity, a support is arranged in the second isolation film, the support is used for supporting the second isolation film, and the first isolation cavity and the second isolation cavity are communicated to form a viewing channel. The second isolation film is used together with the support to isolate lung tissue, prevent lung tissue from expanding over the isolator into an upper cardiac surgery area along with respiration, and provide a good surgery view for thoracoscopy or chest wall lateral intercostal incision cardiac surgery while maintaining double lung ventilation.

The invention discloses a disability evaluation test method for blunt impact, and belongs to the technical field of disability test methods, and the method specifically comprises the following steps: S1, obtaining physical index data of blunt impact equipment; s2, acquiring physical change data and biological target behavior data of the impact position through behavior acquisition equipment, and respectively calculating a blunt impact energy value and an anti-disability attribute characteristic value; s3, acquiring injury condition data of the biological target, and acquiring injury disability attribute characteristics; and S4, evaluating the disability level of the biological target through the anti-disability attribute feature value and the damage disability attribute feature. By adopting the disability evaluation test method for the blunt impact, evaluation is performed by adopting two disability indexes, meanwhile, lung ventilation is collected in a non-contact manner, data are acquired by adopting an existing infrared motion trapper, and respiratory function evaluation is completed on biological targets which cannot be matched under unconstrained and non-contact conditions.

This invention belongs to the field of pulmonary rehabilitation training assessment technology, specifically involving a method for postoperative pulmonary rehabilitation training assessment and guidance guided by ultrasound in the lung and diaphragm system. By comparing postoperative parameters with baseline datasets, this invention can identify areas of diaphragmatic movement disorder and abnormal lung ventilation, overcoming the limitations of traditional assessment methods that rely solely on single indicators or subjective symptoms. Based on a sliding window mechanism, it calculates deviations in movement and ventilation parameters and matches them with standardized training parameters, initially establishing a correlation between the training program and the patient's degree of functional impairment. Furthermore, by collecting the patient's adaptation parameters under free training to generate sensitivity coefficients, the standardized training parameters are dynamically corrected until the patient reaches a stable adaptation state. This fully considers individual patient differences and real-time physiological feedback, transforming the training program from standardized to personalized, and achieving real-time quantitative monitoring and guidance of both the diaphragm and lung tissue.

The invention discloses a diaphragm stimulation control method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring human chest impedance data through an electrical impedance tomography technology, and constructing a first lung ventilation image sequence according to the human chest impedance data; a global ventilation volume curve is extracted from the first lung ventilation image sequence, breathing cycle key points are determined according to the global ventilation volume curve, and the breathing cycle key points comprise at least one of an inspiration starting point, an inspiration peak point, an expiration starting point and an expiration end point; determining the inspiration triggering opportunity of the next cycle according to the breathing cycle key points, triggering diaphragm electrical stimulation according to the inspiration triggering opportunity, and collecting a stimulated second lung ventilation image sequence; and extracting a ventilation effect feedback index from the second lung ventilation image sequence, and adaptively adjusting diaphragm electrical stimulation parameters according to the ventilation effect feedback index.